本文整理汇总了Python中pyFAI.azimuthalIntegrator.AzimuthalIntegrator.chiArray方法的典型用法代码示例。如果您正苦于以下问题：Python AzimuthalIntegrator.chiArray方法的具体用法？Python AzimuthalIntegrator.chiArray怎么用？Python AzimuthalIntegrator.chiArray使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pyFAI.azimuthalIntegrator.AzimuthalIntegrator的用法示例。
在下文中一共展示了AzimuthalIntegrator.chiArray方法的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: image_test_rings
# 需要导入模块: from pyFAI.azimuthalIntegrator import AzimuthalIntegrator [as 别名]
# 或者: from pyFAI.azimuthalIntegrator.AzimuthalIntegrator import chiArray [as 别名]
def image_test_rings():
rings = 10
mod = 50
detector = detector_factory("Titan")
sigma = detector.pixel1 * 4
shape = detector.max_shape
ai = AzimuthalIntegrator(detector=detector)
ai.setFit2D(1000, 1000, 1000)
r = ai.rArray(shape)
r_max = r.max()
chi = ai.chiArray(shape)
img = numpy.zeros(shape)
modulation = (1 + numpy.sin(5 * r + chi * mod))
for radius in numpy.linspace(0, r_max, rings):
img += numpy.exp(-(r - radius) ** 2 / (2 * (sigma * sigma)))
return img * modulation示例2: ObliqueAngleDetectorAbsorptionCorrectionTest
# 需要导入模块: from pyFAI.azimuthalIntegrator import AzimuthalIntegrator [as 别名]
# 或者: from pyFAI.azimuthalIntegrator.AzimuthalIntegrator import chiArray [as 别名]
class ObliqueAngleDetectorAbsorptionCorrectionTest(unittest.TestCase):
def setUp(self):
# defining geometry
image_shape = [2048, 2048] # pixel
detector_distance = 200 # mm
wavelength = 0.31 # angstrom
center_x = 1024 # pixel
center_y = 1024 # pixel
self.tilt = 0 # degree
self.rotation = 0 # degree
pixel_size = 79 # um
dummy_tth = np.linspace(0, 35, 2000)
dummy_int = np.ones(dummy_tth.shape)
self.geometry = AzimuthalIntegrator()
self.geometry.setFit2D(directDist=detector_distance,
centerX=center_x,
centerY=center_y,
tilt=self.tilt,
tiltPlanRotation=self.rotation,
pixelX=pixel_size,
pixelY=pixel_size)
self.geometry.wavelength = wavelength / 1e10
self.dummy_img = self.geometry.calcfrom1d(dummy_tth, dummy_int, shape=image_shape, correctSolidAngle=True)
self.tth_array = self.geometry.twoThetaArray(image_shape)
self.azi_array = self.geometry.chiArray(image_shape)
def tearDown(self):
del self.azi_array
del self.tth_array
del self.dummy_img
del self.geometry
gc.collect()
def test_that_it_is_correctly_calculating(self):
oblique_correction = ObliqueAngleDetectorAbsorptionCorrection(
tth_array=self.tth_array,
azi_array=self.azi_array,
detector_thickness=40,
absorption_length=465.5,
tilt=self.tilt,
rotation=self.rotation
)
oblique_correction_data = oblique_correction.get_data()
self.assertGreater(np.sum(oblique_correction_data), 0)
self.assertEqual(oblique_correction_data.shape, self.dummy_img.shape)
del oblique_correction示例3: CbnCorrectionTest
# 需要导入模块: from pyFAI.azimuthalIntegrator import AzimuthalIntegrator [as 别名]
# 或者: from pyFAI.azimuthalIntegrator.AzimuthalIntegrator import chiArray [as 别名]
class CbnCorrectionTest(unittest.TestCase):
def setUp(self):
# defining geometry
image_shape = [2048, 2048] # pixel
detector_distance = 200 # mm
wavelength = 0.31 # angstrom
center_x = 1024 # pixel
center_y = 1024 # pixel
tilt = 0 # degree
rotation = 0 # degree
pixel_size = 79 # um
dummy_tth = np.linspace(0, 35, 2000)
dummy_int = np.ones(dummy_tth.shape)
self.geometry = AzimuthalIntegrator()
self.geometry.setFit2D(directDist=detector_distance,
centerX=center_x,
centerY=center_y,
tilt=tilt,
tiltPlanRotation=rotation,
pixelX=pixel_size,
pixelY=pixel_size)
self.geometry.wavelength = wavelength / 1e10
self.dummy_img = self.geometry.calcfrom1d(dummy_tth, dummy_int, shape=image_shape, correctSolidAngle=True)
self.tth_array = self.geometry.twoThetaArray(image_shape)
self.azi_array = self.geometry.chiArray(image_shape)
def tearDown(self):
del self.tth_array
del self.azi_array
del self.dummy_img
del self.geometry
gc.collect()
def test_that_it_is_calculating_correctly(self):
cbn_correction = CbnCorrection(self.tth_array, self.azi_array,
diamond_thickness=2.2,
seat_thickness=5.3,
small_cbn_seat_radius=0.4,
large_cbn_seat_radius=1.95,
tilt=0,
tilt_rotation=0)
cbn_correction.update()
cbn_correction_data = cbn_correction.get_data()
self.assertGreater(np.sum(cbn_correction_data), 0)
self.assertEqual(cbn_correction_data.shape, self.dummy_img.shape)示例4: image_test_rings
# 需要导入模块: from pyFAI.azimuthalIntegrator import AzimuthalIntegrator [as 别名]
# 或者: from pyFAI.azimuthalIntegrator.AzimuthalIntegrator import chiArray [as 别名]
def image_test_rings():
"Creating a test image containing gaussian spots on several rings"
rings = 10
mod = 50
detector = detector_factory("Titan")
sigma = detector.pixel1 * 4
shape = detector.max_shape
ai = AzimuthalIntegrator(detector=detector)
ai.setFit2D(1000, 1000, 1000)
r = ai.rArray(shape)
r_max = r.max()
chi = ai.chiArray(shape)
img = numpy.zeros(shape)
modulation = (1 + numpy.sin(5 * r + chi * mod))
for radius in numpy.linspace(0, r_max, rings):
img += numpy.exp(-(r - radius) ** 2 / (2 * (sigma * sigma)))
img *= modulation
img = add_noise(img, 0.0)
return img示例5: AzimuthalIntegrator
# 需要导入模块: from pyFAI.azimuthalIntegrator import AzimuthalIntegrator [as 别名]
# 或者: from pyFAI.azimuthalIntegrator.AzimuthalIntegrator import chiArray [as 别名]
dummy_tth = np.linspace(0, 35, 2000)
dummy_int = np.ones(dummy_tth.shape)
geometry = AzimuthalIntegrator()
geometry.setFit2D(directDist=detector_distance,
centerX=center_x,
centerY=center_y,
tilt=tilt,
tiltPlanRotation=rotation,
pixelX=pixel_size,
pixelY=pixel_size)
geometry.wavelength = wavelength/1e10
dummy_img = geometry.calcfrom1d(dummy_tth, dummy_int, shape=image_shape, correctSolidAngle=True)
tth_array = geometry.twoThetaArray(image_shape)
azi_array = geometry.chiArray(image_shape)
cbn_correction = CbnCorrection(tth_array, azi_array,
diamond_thickness=2.2,
seat_thickness=5.3,
small_cbn_seat_radius=0.4,
large_cbn_seat_radius=1.95,
tilt=0,
tilt_rotation=0)
t1= time.time()
cbn_correction.get_data()
print("It took {}s".format(time.time()-t1))